Active learning for predicting the enthalpy of mixing in binary liquids based on ab initio molecular dynamics

· · 来源:tutorial资讯

Historically, LLMs have been poor at generating Rust code due to its nicheness relative to Python and JavaScript. Over the years, one of my test cases for evaluating new LLMs was to ask it to write a relatively simple application such as Create a Rust app that can create "word cloud" data visualizations given a long input text. but even without expert Rust knowledge I could tell the outputs were too simple and half-implemented to ever be functional even with additional prompting.

for storage in self.storages:

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Multiplication and division are too slow for Opus 4.6.

Фото: Ilya Moskovets / URA.RU / Globallookpress.com,推荐阅读夫子获取更多信息

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思路:① 找初始左边界:第一个 nums[i] nums[i+1];② 找初始右边界:最后一个 nums[i] < nums[i-1];③ 求 [left,right] 内 min、max;④ 向左扩展:nums[left-1] minVal 则 left--;⑤ 向右扩展:nums[right+1] < maxVal 则 right++。长度 = right - left + 1。,推荐阅读谷歌浏览器【最新下载地址】获取更多信息

Supported by multiple languages and toolchains